Magnetic material selection using multiple attribute decision making approach

Materials and Design

Volumn 36, Issue , 2012, Pages 1-5

  Chauhan, Aditya ^b   Vaish, Rahul ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY MANDI   (India)

^b GALGOTIAS COLLEGE OF ENGINEERING AND TECHNOLOGY   (India)

Author keywords

E. Magnetic; H. Material property databases; H. Weighting and ranking factors

Indexed keywords

E. MAGNETIC; H. MATERIAL PROPERTY DATABASE; H. WEIGHTING AND RANKING FACTORS; HARD MAGNETIC MATERIAL; HIER-ARCHICAL CLUSTERING; MATERIAL SELECTION; MULTIPLE ATTRIBUTE DECISION MAKING; OPTIMAL MATERIALS; PEARSON CORRELATION COEFFICIENTS; RELATIVE RANKINGS; RELATIVE WEIGHTS; SHANNON'S ENTROPY; TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTIONS; TECHNOLOGICAL APPLICATIONS;

CORRELATION METHODS; DECISION MAKING; DIAGNOSIS; MANGANESE; OPTIMIZATION; SINTERING;

MAGNETIC MATERIALS;

EID: 82055194375     PISSN: 02641275     EISSN: 18734197     Source Type: Journal    
DOI: 10.1016/j.matdes.2011.11.021     Document Type: Article

References (27)

1. Cardarelli F. Materials handbook 2000, Springer, New York, p. 487-516.
2. Krichmayr M.R. Permanent magnets and hard magnetic materials. J Phys D: Appl Phys 1996, 29:2763-2778.
3. Gavrila H., Ionita V.C. Crystalline and amorphous soft magnetic materials and their applications - status of art and challenges. J Optoelectron Adv Mater 2002, 4:173-192.
4. Park J.Y., Allen M.G. Development of magnetic materials and processing techniques applicable to integrated micromagnetic devices. J Micromech Microeng 1998, 8:307-316.
5. McHenry M.E., Laughlin D.E. Nano-scale materials development for future, magnetic applications. J Acta Mater 2000, 48:223-238.
6. Ashby M.F. Multi-objective optimization in material design and selection. Acta Mater 2000, 48:359-369.
7. Bilgaard T., Johannesson Gisli H., Ruban Andrei V., Skriver H.L. Pareto-optimal alloys. Appl Phys Lett 2003, 83:4527-4529.
8. Jahan A., Ismail M.Y., Sapuan S.M., Mustapha F. Material screening and choosing methods - a review. Mater Des 2010, 31:696-705.
9. Athawale V.M., Chakraborty S. A comparative study on the ranking performance of some multi-criteria decision-making methods for industrial robot selection. Int J Ind Eng Comput 2011, 2:831-850.
10. Hwang C., Yoon K. Multiple attribute decision making methods and application survey 1981, Springer, Berlin.
11. Sen P., Yang J.B. Multiple criteria decision support in engineering design 1998, Springer, New York.
12. Gupta N. Material selection for thin-film solar cells using multiple attribute decision making approach. Mater Des 2011, 32:1667-1671.
13. Miani A.S., Shanian A., Madoliat R., Nemes J.A. The effect of normalisation norms in multiple attribute decision making models: a case study in gear material selection. Struct Multidisc Optim 2005, 29:312-318.
14. Shanian A., Savadogo O. A material selection model based on multiple attribute decision making. Mater Des 2006, 27:329-337.
15. Soltanpanah H., Farughi H., Golabi M. Utilization and comparison of multiple attribute decision techniques to rank countries upon human development rate. Int Res J Finance Econ 2010, 60:175-188.
16. Wang T.C., Liang J.L., Ho C.Y. Multi-criteria decision analysis by using fuzzy VIKOR. Int Conf Serv Syst Serv Manage 2006, 25-27.
17. Opricovic S., Tzeng G.H. Extended VIKOR method in comparison with outranking methods. Eur J Oper Res 2007, 178:514-529.
18. Datta S, Mahapatra S. Comparative study on application of utility concept and VIKOR method, for vendor selection. In: Proceeding AIMS Int Conf value-based Manage; 2010.
19. Cristobal J.R. Multi-criteria decision-making in the selection of a renewable energy project in Spain: the VIKOR method. J Renew Energy 2011, 36:498-502.
20. Dugdale J.S. Entropy and its physical meaning 1996, Taylor and Francis, New York.
21. Uden E, Kwiesielewicz M. Evaluating attribute significance in AHP using Shannon entropy. In: Proceeding ISAHP, Indonesia; 2003.
22. Lotfi F., Fallahnejad R. Imprecise Shannon's entropy and multiple attribute decision making. J Entropy 2010, 12:53-62.
23. Romesberg H.C. Cluster analysis for researchers 1984, Lifetime learning publications, California.
24. Lee R.C.T. Clustering analysis and its applications. Adv Info Syst Sci 1981, 8:169-292.
25. Benesty J., Chen J., Huang Y., Cohen I. Pearson correlation coefficient. Noise reduction in speech processing 2009, vol. 2. Springer Topics in Signal Processing, p. 1-4.
26. Jiles D.C. Recent advances and future directions in magnetic materials. Acta Mater 2003, 51:5907-5939.
27. Yurdakul M., Tansel Y.I.C. Application of correlation test to criteria selection for multi criteria decision making (MCDM) models. Int J Adv Manuf Technol 2009, 40:403-412.